Big Data

Logistics Startup of the Month: ClearMetal

Every month we select one logistics startup which represents a positive example of innovation in Logistics and Supply Chain and has the potential to alter the way the industry operates. This month, Transmetrics selected ClearMetal, the predictive logistics company that unlocks unprecedented efficiencies for global trade, as the September “Logistics Startup of the Month” for its outstanding contribution to the development of data science and AI in logistics and supply chain.

In order to learn more about ClearMetal and what they do, we talked with Adam Compain, CEO and Co-Founder of ClearMetal, about their business and how data science and AI can bring the positive influence to supply chain and logistics.

Amazon has long threatened traditional logistics companies with its advanced predictive analytics capabilities, sometimes even shipping products before customers place their orders. And now, legacy logistics companies are fighting to catch up. UPS, for example, is in the process of implementing a new predictive analytics tool that analyzes over one billion data points daily to

In our previous post, we discussed the history of blockchain and some of the benefits it has for the transportation and logistics industry. This is a continuation of the interview with a blockchain expert Martijn Siebrand, who talks more about the intersection of blockchain and logistics – more specifically, on how the technology is already

From improving healthcare to suggesting what movies to watch, big data is being used to improve our lives on a daily basis. Accordingly, businesses across the globe — and across industries — have spent extensive amounts of their marketing budgets on using this data to gain expert insight into both their businesses and their customers.

Is data quality an obstacle for predictive analytics optimization? First of all, If you try to put any data that you have into the predictive algorithm, it is going to predict some results, but they’re not going to be what you need. Instead, the algorithm is going to deliver you a set of very low-quality

We would like to thank Dr. Yingli Wang and Dr. Stephen Pettit for providing us with this article from their book E-Logistics: Managing Your Digital Supply Chains for Competitive Advantage. The increasing volume and detail of information generated by organisations, social media and the Internet of Things (IoT) has led to an ‘explosion’ in